From medicine, for medicine.
Hau-Tieng Wu, M.D., Ph.D. (吳浩榳)
I am a professor in the Department of Mathematics at the Courant Institute of Mathematical Sciences, New York University.
I am originally from Kaohsiung, Taiwan.
email: hauwu (small mouse) cims (DOT) nyu (DOT) edu
An old media report about me
A recent media about a new venture, PranaQ
Research Interest
I run MISTA (Medical information and signal, theory and application) lab in New York University. See the website (under construction) for more information. The primary focus of my research revolves around the utilization of medical data, with a specific interest in diverse types of medical datasets, particularly those encompassing high-frequency and/or ultra-long heterogeneous and multimodal physiological waveform signals. These signals include but are not limited to ECG, EEG, LFP, PPG, BP, PVP, Resp, fMRI, as well as any other data involving time as a significant component, such as video (like iPPG/remote PPG).
Some keywords:
applied harmonic analysis,
signal processing,
time-frequency analysis,
time-series analysis,
applied differential geometry
applied probability
machine learning,
manifold learning,
high-dimensional statistics,
high-frequency & multimodal physiological data,
“medical AI”,
etc.
Education
Ph.D., Mathematics, Princeton University, 2006-2011
Thesis: Adaptive analysis of complex data sets [Download]
Advisor: Ingrid Daubechies
M.D., National Yang-Ming University, 1996-2003
A short Bio: Dr. Wu received his PhD in Mathematics from Princeton University in 2011, under the supervision of Professor Ingrid Daubechies (and unofficially Professor Amit Singer). Following his postdoctoral research position from 2011 to 2014, Dr. Wu joined the University of Toronto’s Department of Mathematics as a tenure-track Assistant Professor until June 2017. From there, he transitioned to Duke University, initially as a tenured Associate Professor in the Department of Mathematics and Department of Statistical Science (from June 2017 to July 2022) and later as a tenured Professor (from August 2022 to August 2023). In August 2023, he joined New York University as a tenured Professor at the Courant Institute of Mathematical Sciences. Before coming to mathematics, Dr. Wu received his medical degree from National Yang Ming University (now National Yang Ming Chiao Tung University), Taiwan, in 2003. Following his medical studies, he practiced as a resident doctor at Taipei Veterans General Hospital, Taiwan. In 2015, Dr. Wu was awarded the Sloan Research Fellowship. In 2017, he was awarded the PIMS Early Career Award by the Canadian Applied and Industrial Society (CAIMS). His research interests encompass a broad spectrum, spanning mathematics, statistics, biomedical engineering, and medicine, with a particular emphasis on biomedical signal processing, theoretical advancements, and their clinical applications and unmet requirements. Dr. Wu has coauthored over 100 journal publications and 10 conference proceedings. Furthermore, he serves as an associate editor for journals including Applied and Computational Harmonic Analysis, Information and Inference: A Journal of the IMA, and Frontiers in Applied Mathematics and Statistics.
“If I die tomorrow or in a year, it is the same. It is the message you leave behind you that counts.”
— Rita Levi-Montalcini.
Sadly, so far I don’t have any…
Medical Information and Signal, Theory and Application 